LLM observability: tracing, monitoring, and evals
Trace prompts/responses, monitor quality and drift, and optimize cost/latency. Debug LLM apps with full visibility and governance.
Complete visibility into LLM behavior
From individual prompts to system-wide patterns—monitor, debug, and optimize.
Prompt & Response Tracing
Capture every prompt, response, and intermediate step with full context for debugging and analysis.
Quality Monitoring & Evals
Track hallucinations, accuracy, relevance, and safety with automated evaluations and alerts.
Drift Detection
Monitor output distribution changes and performance degradation over time with statistical analysis.
Cost & Token Tracking
Track LLM spend by model, team, project, or user with showback and budget alerts.
Latency Optimization
Identify slow calls, optimize token usage, and improve response times with detailed performance metrics.
Contextual Debugging
Reconstruct entire conversation chains with full context, metadata, and state for root cause analysis.
LLM observability metrics that matter
Quality, performance, cost, and behavioral tracking—all in one platform.
Quality Metrics
- Hallucination rate
- Response relevance
- Safety violations
- Policy compliance
Performance Metrics
- Latency (p50, p95, p99)
- Token usage
- Error rates
- Throughput
Cost Metrics
- Spend by model
- Cost per request
- Budget utilization
- Token efficiency
Behavioral Metrics
- Output drift
- Topic distribution
- User patterns
- Conversation length
Turn LLM data into actionable insights
Debug faster, optimize costs, and prove behavior to stakeholders.
Frequently Asked Questions
What is LLM observability?
LLM observability is the ability to monitor, debug, and optimize LLM applications by capturing prompts, responses, metadata, and performance metrics in real-time.
How does Aureum Health detect LLM drift?
Drift detection monitors output distributions, topic patterns, and quality metrics over time. When metrics exceed governance thresholds, automatic alerts and review workflows trigger.
Can I track LLM costs per team or project?
Yes. Aureum Health provides cost allocation by team, project, model, or user with showback dashboards and budget alerts for governance and financial planning.
What's the difference between observability and monitoring?
Monitoring tells you when something is wrong. Observability tells you why—with full context, traces, and debugging data to understand LLM behavior and root causes.